The Need for Explainable AI Between 2013 and 2019, the Dutch tax authority’s algorithm flagged 26,000 families as potential fraudsters. The system worked exactly as programmed, spotting patterns in childcare benefit claims. But when investigators finally understood what the algorithm was doing, they discovered it was using nationality as a hidden factor. The result: thousands […]
AI Explainability Your smartphone can recognize your face in milliseconds. But ask it why it thinks that’s you instead of your twin, and you’ll get digital silence. Or a Confabulation (le’t s keep it real). This isn’t a small problem. We’re building AI systems that make medical diagnoses, approve loans, and control autonomous vehicles. Yet […]
UNDERSTANDING AI BIAS As organizations increasingly rely on Artificial Intelligence (AI) across sectors such as healthcare, hiring, finance, and public safety, understanding and mitigating embedded biases (AI bias) within these systems is vital. Left unaddressed, these biases pose significant threats, including exacerbating systemic discrimination, creating ethical and legal challenges, eroding public trust, and negatively impacting […]
AI Use Case Policy: 5 Essential Steps for Success Artificial Intelligence (AI) has evolved from a trendy concept into a powerful engine of change across nearly every industry. It’s promising better productivity, sharper insights, and faster innovation. But integrating AI isn’t a free-for-all scenario. You can’t just unleash it like it’s your favorite streaming series […]